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박규태,전중남,신태민,연창모 연세대학교 산업기술연구소 1987 논문집 Vol.19 No.2
This study describes an interframe image coding method using motion compensated and classified vector quantization(MC-CVQ). In motion compensated vector quantization(MCVQ), it is very important to encode the significant block. Therefore, we propose the MC-CVQ which encodes the significant block in the motion compensated error image by the classified vector quantizer. We classify the significant blocks according to the positions of the significant vectors, and also classify the significant vectors into 15 classes according to the positions of the significant pels. The computer simulation shows that the signal-to-noise ratio and the average bits of MC-CVQ are 0.2-0.25 bits/pel and 35 to 37 dB, respectively.